Chavent, Marie A monothetic clustering method. (English) Zbl 0915.68148 Pattern Recognit. Lett. 19, No. 11, 989-996 (1998). Summary: The proposed divisive clustering method performs simultaneously a hierarchy of a set of objects and a monothetic characterization of each cluster of the hierarchy. A division is performed according to the within-cluster inertia criterion which is minimized among the bipartitions induced by a set of binary questions. In order to improve the clustering, the algorithm revises at each step the division which has induced the cluster chosen for division. Cited in 13 Documents MSC: 68T10 Pattern recognition, speech recognition Keywords:divisive clustering method PDF BibTeX XML Cite \textit{M. Chavent}, Pattern Recognit. Lett. 19, No. 11, 989--996 (1998; Zbl 0915.68148) Full Text: DOI